Initial Commit
Hofei90
6 years ago
parent
b8617ad52d
commit
73188fcb78
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*.py text eol=lf
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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||||
.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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||||
*.spec
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||||
|
||||
# Installer logs
|
||||
pip-log.txt
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||||
pip-delete-this-directory.txt
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||||
|
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# Unit test / coverage reports
|
||||
htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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|
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# Flask stuff:
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instance/
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.webassets-cache
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||||
|
||||
# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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|
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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|
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Smartmeter Konfigurationsfile
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wetterconfig.toml
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@ -1,2 +1,101 @@
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# weewx_to_grafanaserver
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# Vorbereitungen
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## Koordinaten vorbereiten
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[Bayernatlas](https://geoportal.bayern.de "Bayernatlas") besuchen, Adresse der
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Station eingeben, Koordinaten werden später benötigt.
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Kooardinaten müssen dem Administrator bei der Stationsregistrierung mittgeteilt
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werden.
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# Installation Client Skripte
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## Python
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Es wird mindestens Python 3.7+ vorausgesetzt
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## Benötigte Python Module installieren
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```console
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apt install python3-systemd
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git clone https://git.pertl-ing.de/Hofei/weewx_to_grafanaserver.git /home/pi/weewx_to_grafanaserver
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pip3 install -r requirements.txt
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```
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Bei der Installation ist gegenfalls zu achten die Module für den passenden User
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zu installieren (bsp. sudo pip3 install ... oder pip3 install --user).
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Die beiliegenden Service Units sind für den User root ausgelegt
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Es empiehlt sich folgenden Pfad zu verwenden, da hierfür die Service Units schon vorbereitet sind,
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Abweichungen müssen angepasst werden
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`/home/pi/weewx_to_grafanaserver`.
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## Konfiguration anpassen
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```console
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cp vorlage_wetterconfig.toml wetterconfig.toml
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nano wetterconfig.toml
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```
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## Inbetriebnahme
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Da WeeWx in der Standardinstallation mit root Rechten läuft, so benötigen auch diese Skripte root Rechte
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um auf die Datenbank von WeeWx zugreifen zu können. Somit empfiehlt es sich die root Crontab zu verwenden
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(`sudo crontab -e`)
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Anstelle der Verwendung der Crontab liegen im Repository für jedes Exportskript eine Systemd Service Unit mit Timer Unit
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bei.
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Dies stellt den **moderneren** Weg dar. Hierfür die universelle Anleitung unter dem Punkt Systemd Unit beachten
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### grafana_export.py
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Datei erstmals manuell ausführen. Erste Ausführung wird je nach Weewx Datenbank-
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größe viel Zeit in Anspruch nehmen. --> Geduldig abwarten!
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Nach der erfolgreichen ersten Übertragung der Wetterdaten aus der Weewx
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Datenbank einen Cronjob mit dem gewünschten Ausführintervall erstellen
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(Standardmäßig alle 5 Minuten)
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#### Cronjob
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````console
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crontab -e
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````
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`*/5 * * * * python3 /home/pi/weewx_to_grafanaserver/grafana_export.py`
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### Feinstaubsensor (Optional)
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Wer einen Feinstaubsensor hat, die URL in der Konfigurationsdatei hinterlegen und `feinstaub.py` direkt aufrufen,
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entweder mit Cronjob oder Systemd Service Unit
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#### Cronjob
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````console
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crontab -e
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````
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`*/5 * * * * python3 /home/pi/weewx_to_grafanaserver/feinstaub.py`
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Hinweis: Grafana kann nur nach erfolgreicher Stationsregistrierung
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funktionieren. Hierfür den Administrator kontaktieren mit Besitzer, Stationsname
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und Koordinaten
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### Systemd Unit
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Alternativ zur Crontab kann eine Systemd Unit verwendet werden.
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Hierfür die zugehörigen Dateien mit der Endung .service und .timer im systemd_files Ordner nach
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`/etc/systemd/system` kopieren und die Rechte anpassen
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```console
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cp <files> /etc/systemd/system/
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chmod 644 /etc/systemd/system/<file>
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```
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Anschließend kann das Skript manuell getestet werden mit:
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```console
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systemctl start <unitname>.service
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```
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Verläuft dieser Test positiv, kann der Timer gestartet werden:
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```console
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systemctl start <timername>.timer
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systemctl enable <timername>.timer
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```
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-- Funktion für PostgreSQL Server, für Clientskripte nicht relevant
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-- FUNCTION: public.set_intervall(interval, timestamp with time zone, timestamp with time zone)
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-- DROP FUNCTION public.set_intervall(interval, timestamp with time zone, timestamp with time zone);
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CREATE OR REPLACE FUNCTION public.set_intervall(
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min_intervall interval,
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von_timestamp timestamp with time zone,
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bis_timestamp timestamp with time zone)
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RETURNS interval
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LANGUAGE 'sql'
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COST 100
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VOLATILE
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AS $BODY$
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SELECT CASE
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WHEN (min_intervall <= '1 seconds'::interval and '1 seconds'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('1 seconds'::interval)
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WHEN (min_intervall <= '10 seconds'::interval and '10 seconds'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('10 seconds'::interval)
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WHEN (min_intervall <= '30 seconds'::interval and '30 seconds'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('30 seconds'::interval)
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WHEN (min_intervall <= '1 minutes'::interval and '1 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('1 minutes'::interval)
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WHEN (min_intervall <= '5 minutes'::interval and '5 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('5 minutes'::interval)
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WHEN (min_intervall <= '15 minutes'::interval and '15 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('15 minutes'::interval)
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WHEN (min_intervall <= '30 minutes'::interval and '30 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('30 minutes'::interval)
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WHEN (min_intervall <= '60 minutes'::interval and '60 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('60 minutes'::interval)
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WHEN (min_intervall <= '120 minutes'::interval and '120 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('120 minutes'::interval)
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WHEN (min_intervall <= '240 minutes'::interval and '240 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('240 minutes'::interval)
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WHEN (min_intervall <= '480 minutes'::interval and '480 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('480 minutes'::interval)
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WHEN (min_intervall <= '720 minutes'::interval and '720 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('720 minutes'::interval)
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WHEN (min_intervall <= '1440 minutes'::interval and '1440 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('1440 minutes'::interval)
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WHEN (min_intervall <= '2880 minutes'::interval and '2880 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('2880 minutes'::interval)
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WHEN (min_intervall <= '10080 minutes'::interval and '10080 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('10080 minutes'::interval)
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WHEN (min_intervall <= '43200 minutes'::interval and '43200 minutes'::interval > (bis_timestamp::timestamp - von_timestamp::timestamp) / 2000) THEN ('43200 minutes'::interval)
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ELSE ('43200 minutes'::interval)
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END;
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$BODY$;
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ALTER FUNCTION public.set_intervall(interval, timestamp with time zone, timestamp with time zone)
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OWNER TO hofei;
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from dataclasses import dataclass
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import datetime
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from dataclasses_json import dataclass_json
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import requests
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import json
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import pprint
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@dataclass_json
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@dataclass
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class Basiswetterdaten:
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ts: datetime.datetime
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stationsname: str
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outtemp: float = None
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outluftfeuchte: float = None
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heatindex: float = None
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taupunkt: float = None
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luftdruck: float = None
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regenaktuell: float = None
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regenrate: float = None
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wind: float = None
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windrichtung: str = None
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windboe: float = None
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windboe_richtung: str = None
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windrichtung_grad: float = None
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out_abs_luftfeuchte: float = None
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windchill: float = None
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@dataclass_json
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@dataclass
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class Zusatzwetterdaten:
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ts: datetime.datetime
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stationsname: str
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wertname: str
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wert: float
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public: bool
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def status_auswerten(r, logger, daten):
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if not (r.status_code == 200 or r.status_code == 201):
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logger.error(f"Statuscode: {r.status_code}\n Message: {r.text}")
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logger.error(pprint.pprint(daten))
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def sende_daten(url, table, headers, daten, logger):
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url = f"{url}{table}"
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for data in daten:
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data.ts = datetime.datetime.fromtimestamp(int(data.ts)).strftime("%Y-%m-%d %H:%M:%S")
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logger.debug(f"Folgende Daten werden gesendet an {table}:\n {daten}")
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r = requests.post(url, headers=headers, json=[data.to_dict() for data in daten])
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status_auswerten(r, logger, daten)
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if r.status_code == 409:
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logger.error("Primary Key Verletzung. Beginne Datensätze einzeln zu übertragen")
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for data in daten:
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r = requests.post(url, headers=headers, json=data.to_dict())
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status_auswerten(r, logger, data)
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def hole_letzten_ts(url, table, headers, username):
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query = f"select=ts&stationsname=eq.{username}&limit=1&order=ts.desc"
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url = f"{url}{table}"
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r = requests.get(url, headers=headers, params=query)
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if r.status_code == 200:
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inhalt = json.loads(r.text)
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try:
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ts_str = inhalt[0]["ts"]
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ts = datetime.datetime.strptime(ts_str, "%Y-%m-%dT%H:%M:%S%z")
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except IndexError:
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ts = datetime.datetime(1970, 1, 1)
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return ts
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else:
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raise TypeError(r.text)
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Binary file not shown.
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"""
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In diesem Modul können eigene Funktionen zur Datenerstellung Generierung integriert werden
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Es stehen aufbereitete Rohdaten und die Datenbankverbindung zur Verfügung
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Wichtig dabei ist, dass die selbsterstellten Funktionen in der Funktion eigene_wetterdaten
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registriert werden, und die Werte in das Dictionary aufbereitete_daten ergänzt werden. Das Keyfeld stellt sogleich
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den Namen in der Datenbank dar."""
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import messwerte_umrechner as mwu
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from weewx_db_model import Archive
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def bad(rohdaten):
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datensatz = Archive.get(Archive.date_time == rohdaten["ts"])
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if datensatz.extra_temp1:
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if datensatz.us_units:
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rohdaten["bad_temp"] = mwu.temperaturumrechner(datensatz.extra_temp1)
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else:
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rohdaten["bad_temp"] = datensatz.extra_temp1
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if isinstance(datensatz.extra_humid1, (int, float)):
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rohdaten["bad_feuchte"] = float(round(datensatz.extra_humid1))
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if datensatz.extra_humid1 and datensatz.extra_temp1:
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rohdaten["bad_abs_feuchte"] = mwu.absolute_luftfeuchtigkeit(rohdaten["bad_temp"],
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rohdaten["bad_feuchte"])
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rohdaten["in_abs_feuchte"] = mwu.absolute_luftfeuchtigkeit(rohdaten["inTemp"],
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rohdaten["inLuftfeuchte"])
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return rohdaten
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def eigene_wetterdaten(rohdaten):
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rohdaten_mit_eigene_daten = bad(rohdaten)
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return rohdaten_mit_eigene_daten
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import datetime
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import os
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import requests
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import toml
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import setup_logging
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from db_postgrest import Zusatzwetterdaten, sende_daten
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "wetterconfig.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
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CONFIG = config_laden()
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LOGGER = setup_logging.create_logger("feinstaub", CONFIG["loglevel"])
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def read_data(url, stationsname):
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datenliste = []
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try:
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r = requests.get(url, timeout=10)
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data = r.json()
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except requests.exceptions.ConnectionError:
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daten = None
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else:
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daten = {"pm10": data["sensordatavalues"][0]["value"],
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"pm2_5": data["sensordatavalues"][1]["value"]}
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timestamp = datetime.datetime.now().timestamp()
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for key, value in daten.items():
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datenliste.append(Zusatzwetterdaten(timestamp, stationsname, key, value, True))
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return datenliste
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def main():
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headers = {f"Authorization": "{user} {token}".format(user=CONFIG["zieldb"]["postgrest"]["user"],
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token=CONFIG["zieldb"]["postgrest"]["token"])}
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url = CONFIG["zieldb"]["postgrest"]["url"]
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if not url.endswith("/"):
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url = f"{url}/"
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daten = read_data(CONFIG["feinstaub"]["url"], CONFIG["grafana"]["grafana_name"])
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sende_daten(url, CONFIG["zieldb"]["postgrest"]["tablename_zusatzwetterdaten"], headers, daten, LOGGER)
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if __name__ == "__main__":
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main()
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#!/usr/bin/python3
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import datetime
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import os
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import sys
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import time
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import toml
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from psutil import process_iter
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import eigene_wetterdaten
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import messwerte_umrechner as mwu
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||||
import weewx_db_model as db_weewx
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import setup_logging
|
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import db_postgrest
|
||||
|
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def config_laden():
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configfile = os.path.join(SKRIPTPFAD, "wetterconfig.toml")
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with open(configfile) as file:
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return toml.loads(file.read())
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|
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|
||||
SKRIPTPFAD = os.path.abspath(os.path.dirname(__file__))
|
||||
CONFIG = config_laden()
|
||||
LOGGER = setup_logging.create_logger("grafana_export", CONFIG["loglevel"])
|
||||
SENDELIMIT = 1000
|
||||
|
||||
|
||||
def check_process():
|
||||
processliste = [p.cmdline() for p in process_iter() if "python" in p.name()]
|
||||
return sum([p.count(sys.argv[0]) for p in processliste])
|
||||
|
||||
|
||||
def rohdaten_laden(timestamp, stationsname):
|
||||
aufruf_wiederholen = False
|
||||
LOGGER.debug("Lese WeeWx Datenbank")
|
||||
query = db_weewx.Archive.select().where(db_weewx.Archive.date_time > timestamp)\
|
||||
.order_by(db_weewx.Archive.date_time.asc()).limit(int(SENDELIMIT * 1.5))
|
||||
gesamtzahl = (len(query))
|
||||
if gesamtzahl > SENDELIMIT:
|
||||
gesamtzahl = SENDELIMIT
|
||||
LOGGER.info(f"Gesamtanzahl an Datensätze: {gesamtzahl} wird geladen")
|
||||
basiswetterdaten_liste = []
|
||||
zusatzwetterdaten_liste = []
|
||||
for nr, datensatz in enumerate(query):
|
||||
LOGGER.debug(f"Datensatz {nr + 1} von {gesamtzahl}")
|
||||
rohdaten = {"ts": datensatz.date_time}
|
||||
if datensatz.us_units == 1:
|
||||
rohdaten["outtemp"] = mwu.temperaturumrechner(datensatz.out_temp)
|
||||
rohdaten["inTemp"] = mwu.temperaturumrechner(datensatz.in_temp)
|
||||
rohdaten["luftdruck"] = mwu.druckumrechner(datensatz.barometer)
|
||||
rohdaten["wind"] = mwu.windumrechner(datensatz.wind_speed)
|
||||
rohdaten["windboe"] = mwu.windumrechner(datensatz.wind_gust)
|
||||
rohdaten["regenrate"] = mwu.regen_rate(datensatz.rain_rate)
|
||||
rohdaten["regenaktuell"] = mwu.regen_menge(datensatz.rain)
|
||||
rohdaten["taupunkt"] = mwu.temperaturumrechner(datensatz.dewpoint)
|
||||
rohdaten["heatindex"] = mwu.temperaturumrechner(datensatz.heatindex)
|
||||
rohdaten["windchill"] = mwu.temperaturumrechner(datensatz.windchill)
|
||||
else:
|
||||
rohdaten["outtemp"] = datensatz.out_temp
|
||||
rohdaten["inTemp"] = datensatz.in_temp
|
||||
rohdaten["luftdruck"] = datensatz.barometer
|
||||
rohdaten["wind"] = datensatz.wind_speed
|
||||
rohdaten["windboe"] = datensatz.wind_gust
|
||||
rohdaten["regenrate"] = datensatz.rain_rate
|
||||
rohdaten["regenaktuell"] = datensatz.rain
|
||||
rohdaten["taupunkt"] = datensatz.dewpoint
|
||||
rohdaten["heatindex"] = datensatz.heatindex
|
||||
rohdaten["wincchill"] = datensatz.windchill
|
||||
if isinstance(datensatz.out_humidity, (int, float)):
|
||||
rohdaten["outluftfeuchte"] = float(round(datensatz.out_humidity, 0))
|
||||
else:
|
||||
rohdaten["outluftfeuchte"] = None
|
||||
if isinstance(datensatz.in_humidity, (int, float)):
|
||||
rohdaten["inLuftfeuchte"] = float(round(datensatz.in_humidity, 0))
|
||||
else:
|
||||
rohdaten["inLuftfeuchte"] = None
|
||||
if isinstance(datensatz.wind_dir, (int, float)):
|
||||
rohdaten["windrichtung_grad"] = float(round(datensatz.wind_dir, 1))
|
||||
else:
|
||||
rohdaten["windrichtung_grad"] = None
|
||||
if isinstance(datensatz.wind_gust_dir, (int, float)):
|
||||
rohdaten["windboe_richtung"] = float(round(datensatz.wind_gust_dir, 1))
|
||||
else:
|
||||
rohdaten["windboe_richtung"] = None
|
||||
rohdaten["windrichtung"] = mwu.himmelsrichtungwandler(datensatz.wind_dir)
|
||||
rohdaten["out_abs_luftfeuchte"] = mwu.absolute_luftfeuchtigkeit(rohdaten["outtemp"], rohdaten["outluftfeuchte"])
|
||||
|
||||
rohdaten = eigene_wetterdaten.eigene_wetterdaten(rohdaten)
|
||||
|
||||
basiswetterdaten_liste.append(
|
||||
db_postgrest.Basiswetterdaten(stationsname=stationsname,
|
||||
**{key: value for key, value in rohdaten.items() if
|
||||
key in db_postgrest.Basiswetterdaten.__dataclass_fields__}))
|
||||
zusatzdatenliste = [{key: value} for key, value in rohdaten.items() if
|
||||
key not in db_postgrest.Basiswetterdaten.__dataclass_fields__]
|
||||
|
||||
for zusatzdaten in zusatzdatenliste:
|
||||
for key, value in zusatzdaten.items():
|
||||
if key is None or value is None:
|
||||
continue
|
||||
zusatzwetterdaten_liste.append(
|
||||
db_postgrest.Zusatzwetterdaten(ts=rohdaten["ts"], stationsname=stationsname, wertname=key,
|
||||
wert=value, public=False))
|
||||
if nr >= SENDELIMIT - 1:
|
||||
aufruf_wiederholen = True
|
||||
break
|
||||
|
||||
return basiswetterdaten_liste, zusatzwetterdaten_liste, aufruf_wiederholen
|
||||
|
||||
|
||||
def freigabe_setzen(zusatzwetterdaten_liste):
|
||||
for zusatzdaten in zusatzwetterdaten_liste:
|
||||
if zusatzdaten.wertname in CONFIG["grafana"]["public"]:
|
||||
zusatzdaten.public = CONFIG["grafana"]["public"][zusatzdaten.wertname]
|
||||
else:
|
||||
zusatzdaten.public = False
|
||||
return zusatzwetterdaten_liste
|
||||
|
||||
|
||||
def main():
|
||||
laufende_prozesse = check_process()
|
||||
if laufende_prozesse > 1:
|
||||
print("EXIT aufgrund laufender Prozesse")
|
||||
sys.exit()
|
||||
# Verzögerung aufgrund vom Cronjob, >>alle 5Minute, damit es nicht mit der Erstellung von Weewx kolidiert
|
||||
time.sleep(CONFIG["weewx"]["sleeptime"])
|
||||
|
||||
db_adapter = CONFIG["weewx"]["db"]
|
||||
db = db_weewx.init_db(CONFIG["weewx"][db_adapter]["database"], db_adapter, CONFIG["weewx"].get(db_adapter))
|
||||
db_weewx.database.initialize(db)
|
||||
|
||||
headers = {f"Authorization": "{user} {token}".format(user=CONFIG["zieldb"]["postgrest"]["user"],
|
||||
token=CONFIG["zieldb"]["postgrest"]["token"])}
|
||||
url = CONFIG["zieldb"]["postgrest"]["url"]
|
||||
if not url.endswith("/"):
|
||||
url = f"{url}/"
|
||||
|
||||
while True:
|
||||
letzter_ts_server = db_postgrest.hole_letzten_ts(url,
|
||||
CONFIG["zieldb"]["postgrest"]["tablename_basiswetterdaten"],
|
||||
headers, CONFIG["grafana"]["grafana_name"])
|
||||
basiswetterdaten, zusatzwetterdaten, aufruf_wiederholen = rohdaten_laden(letzter_ts_server.timestamp(),
|
||||
CONFIG["grafana"]["grafana_name"])
|
||||
|
||||
zusatzwetterdaten = freigabe_setzen(zusatzwetterdaten)
|
||||
db_postgrest.sende_daten(url, CONFIG["zieldb"]["postgrest"]["tablename_basiswetterdaten"], headers,
|
||||
basiswetterdaten, LOGGER)
|
||||
db_postgrest.sende_daten(url, CONFIG["zieldb"]["postgrest"]["tablename_zusatzwetterdaten"], headers,
|
||||
zusatzwetterdaten, LOGGER)
|
||||
|
||||
if not aufruf_wiederholen:
|
||||
break
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
start = datetime.datetime.now()
|
||||
LOGGER.debug(f"Start: {start}")
|
||||
try:
|
||||
main()
|
||||
|
||||
except KeyboardInterrupt:
|
||||
LOGGER.info("Durch Benutzer abgebrochen")
|
||||
else:
|
||||
LOGGER.info("Export erfolgreich")
|
||||
ende = datetime.datetime.now()
|
||||
LOGGER.debug(f"Ende: {ende}")
|
||||
LOGGER.debug(f"Dauer: {ende - start}")
|
||||
@ -0,0 +1,134 @@
|
||||
"""
|
||||
Modul zum Umrechnen der US Einheiten aus Weewx in das Metrische System
|
||||
Version 0.1
|
||||
"""
|
||||
|
||||
import math
|
||||
from typing import Optional, Union
|
||||
|
||||
|
||||
def temperaturumrechner(fahrenheit: Optional[Union[int, float]]) -> Optional[float]:
|
||||
"""
|
||||
Umrechnung von Fahrenheit in Celsius
|
||||
:param fahrenheit: int, float or None
|
||||
:return: float or None
|
||||
"""
|
||||
if isinstance(fahrenheit, (int, float)):
|
||||
celsius = (fahrenheit - 32) / 1.8
|
||||
celsius = round(celsius, 2)
|
||||
return celsius
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def druckumrechner(inHG):
|
||||
"""
|
||||
Umwandlung von inHG in mBar
|
||||
:param inHG: int, float or None
|
||||
:return: float or None
|
||||
"""
|
||||
if isinstance(inHG, (int, float)):
|
||||
mbar = inHG * 33.86389
|
||||
mbar = round(mbar, 2)
|
||||
return mbar
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def himmelsrichtungwandler(grad):
|
||||
"""
|
||||
Umwandlung von Grad in Himmelsrichtung
|
||||
von (>) bis (<=)
|
||||
N 348,75 11,25
|
||||
NNO 11,25 33,75
|
||||
NO 33,75 56,25
|
||||
ONO 56,25 78,75
|
||||
O 78,75 101,25
|
||||
OSO 101,25 123,75
|
||||
SO 123,75 146,25
|
||||
SSO 146,25 168,75
|
||||
S 168,75 191,25
|
||||
SSW 191,25 213,75
|
||||
SW 213,75 236,25
|
||||
WSW 236,25 258,75
|
||||
W 258,75 281,25
|
||||
WNW 281,25 303,75
|
||||
NW 303,75 326,25
|
||||
NNW 326,25 348,75
|
||||
:param grad: float or None
|
||||
:return: String or None
|
||||
"""
|
||||
if isinstance(grad, (int, float)):
|
||||
richtung = ("N", "NNO", "NO", "ONO", "O", "OSO", "SO", "SSO", "S", "SSW", "SW", "WSW", "W", "WNW", "NW", "NNW",
|
||||
"N")
|
||||
return richtung[int((int(grad / (360 / 32)) + 1) / 2)]
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def windumrechner(wind):
|
||||
"""
|
||||
Umwandlung von milen pro std in km/h
|
||||
:param wind: Int, float or None
|
||||
:return: Float or None
|
||||
"""
|
||||
if isinstance(wind, (int, float)):
|
||||
kmh = wind * 1.609346
|
||||
kmh = round(kmh, 2)
|
||||
return kmh
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def regen_rate(wert):
|
||||
"""
|
||||
Umwandlung von Inch/h in mm/h
|
||||
:param wert: Int, float or None
|
||||
:return: Float or None
|
||||
"""
|
||||
if isinstance(wert, (int, float)):
|
||||
regenrate = wert * 25.4
|
||||
regenrate = round(regenrate, 2)
|
||||
return regenrate
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def regen_menge(wert):
|
||||
"""
|
||||
Umwandlung von Inch in mm
|
||||
:param wert: Int, float or None
|
||||
:return: Float or None
|
||||
"""
|
||||
if isinstance(wert, (int, float)):
|
||||
regenmenge = wert * 25.4
|
||||
regenmenge = round(regenmenge, 2)
|
||||
return regenmenge
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
def magnus_formel_wasser(temperatur):
|
||||
sattdampfdruck_wasser = 611.2 * math.e ** ((17.62 * temperatur) / (243.12 + temperatur))
|
||||
return sattdampfdruck_wasser
|
||||
|
||||
|
||||
def wasserdampf_partialdruck_berechnen(relative_feuchte, sattdampfdruck_wasser):
|
||||
wasserdampf_partialdruck = (relative_feuchte/100) * sattdampfdruck_wasser
|
||||
return wasserdampf_partialdruck
|
||||
|
||||
|
||||
def celsius_in_kelvin(temperatur):
|
||||
kelvin = temperatur + 273.15
|
||||
return kelvin
|
||||
|
||||
|
||||
def absolute_luftfeuchtigkeit(temperatur, relative_feuchte):
|
||||
"""g/m³"""
|
||||
if temperatur is None or relative_feuchte is None:
|
||||
return
|
||||
sattdampfdruck_wasser = magnus_formel_wasser(temperatur)
|
||||
wasserdampf_partialdruck = wasserdampf_partialdruck_berechnen(relative_feuchte, sattdampfdruck_wasser)
|
||||
kelvin = celsius_in_kelvin(temperatur)
|
||||
abs_feuchte = round((wasserdampf_partialdruck / (461.51 * kelvin)) * 1000, 3)
|
||||
return abs_feuchte
|
||||
@ -0,0 +1,5 @@
|
||||
requests
|
||||
peewee
|
||||
psutil
|
||||
toml
|
||||
dataclasses-json
|
||||
@ -0,0 +1,82 @@
|
||||
#!/usr/bin/python3
|
||||
"""
|
||||
Beschreibung:
|
||||
Hilfskript zum Erstellen einer logging Instanz in Abhängigkeit, ob das Skript manuell gestartet worden ist oder
|
||||
ob das Skript per Service Unit gestartet wurde
|
||||
Abhängig dessen wird entweder die Logging Instanz mit einem JournalHandler erstellt (Service Unit)
|
||||
oder mit einem StreamHandler (manuell)
|
||||
|
||||
Author: Hofei
|
||||
Datum: 03.08.2018
|
||||
Version: 0.1
|
||||
"""
|
||||
import logging
|
||||
import os
|
||||
import shlex
|
||||
import subprocess
|
||||
|
||||
from systemd import journal
|
||||
|
||||
|
||||
def __setup_logging(loglevel, frm, startmethode, unitname):
|
||||
"""
|
||||
Erstellt die Logger Instanz für das Skript
|
||||
"""
|
||||
logger = logging.getLogger()
|
||||
logger.setLevel(loglevel)
|
||||
logger.handlers = []
|
||||
if startmethode == "auto":
|
||||
log_handler = journal.JournalHandler(SYSLOG_IDENTIFIER=unitname)
|
||||
|
||||
else:
|
||||
log_handler = logging.StreamHandler()
|
||||
log_handler.setLevel(loglevel)
|
||||
log_handler.setFormatter(frm)
|
||||
logger.addHandler(log_handler)
|
||||
return logger
|
||||
|
||||
|
||||
def __get_service_unit_pid(unitname):
|
||||
"""Ermittelt ob das ausführende Skript mit einer Service Unit gestartet worden ist, wenn ja so ist das
|
||||
Ergebnis (pid_service_unit) != 0"""
|
||||
cmd = "systemctl show -p MainPID {}".format(unitname)
|
||||
cmd = shlex.split(cmd)
|
||||
antwort = subprocess.run(cmd, stdout=subprocess.PIPE)
|
||||
ausgabe = antwort.stdout
|
||||
# strip entfernt \n, split teilt am = in eine Liste und [1] weißt die Zahl in die Variable zu
|
||||
pid_service_unit = int(ausgabe.decode().strip().split("=")[1])
|
||||
return pid_service_unit
|
||||
|
||||
|
||||
def __get_startmethode(unitname):
|
||||
"""Verglicht die PID vom skript mit der pid Service Unit Prüfung
|
||||
wenn die Nummern gleich sind wird auf auto gestellt, wenn nicht auf manuell"""
|
||||
pid_service_unit = __get_service_unit_pid(unitname)
|
||||
pid_skript = os.getpid()
|
||||
if pid_service_unit == pid_skript:
|
||||
startmethode = "auto"
|
||||
else:
|
||||
startmethode = "manuell"
|
||||
return startmethode
|
||||
|
||||
|
||||
def __set_loggerformat(startmethode):
|
||||
"""Stellt die passende Formattierung ein"""
|
||||
if startmethode == "auto":
|
||||
frm = logging.Formatter("%(levelname)s: %(message)s", "%d.%m.%Y %H:%M:%S")
|
||||
else:
|
||||
frm = logging.Formatter("%(asctime)s %(levelname)s: %(message)s", "%d.%m.%Y %H:%M:%S")
|
||||
return frm
|
||||
|
||||
|
||||
def create_logger(unitname, loglevel):
|
||||
"""Dies ist die aufzurufende Funktion bei der Verwendung des Moduls von außen
|
||||
Liefert die fertige Logging Instanz zurück"""
|
||||
startmethode = __get_startmethode(unitname)
|
||||
frm = __set_loggerformat(startmethode)
|
||||
return __setup_logging(loglevel, frm, startmethode, unitname)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logger = create_logger("testunit", 10)
|
||||
logger.debug("Testnachricht")
|
||||
@ -0,0 +1,11 @@
|
||||
# Pfad zum speichern: /etc/systemd/system/feinstaub.service
|
||||
[Unit]
|
||||
Description=ServiceUnit zum starten des Feinstaub Skriptes
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
ExecStart=/usr/bin/python3 /home/pi/weewx_to_grafanaserver/feinstaub.py
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
@ -0,0 +1,10 @@
|
||||
# Pfad zum speichern: /etc/systemd/system/feinstaub.timer
|
||||
[Unit]
|
||||
Description=Timer zum Aufruf der Feinstaub Service Unit
|
||||
|
||||
[Timer]
|
||||
OnCalendar=OnCalendar=*:0/5
|
||||
Unit=feinstaub.service
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
@ -0,0 +1,11 @@
|
||||
# Pfad zum speichern: /etc/systemd/system/grafana_export.service
|
||||
[Unit]
|
||||
Description=ServiceUnit zum starten des Grafana Export Skriptes
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
ExecStart=/usr/bin/python3 /home/pi/weewx_to_grafanaserver/grafana_export.py
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
@ -0,0 +1,10 @@
|
||||
# Pfad zum speichern: /etc/systemd/system/grafana_export.timer
|
||||
[Unit]
|
||||
Description=Timer zum Aufruf der Grafana Export Service Unit
|
||||
|
||||
[Timer]
|
||||
OnCalendar=OnCalendar=*:0/5
|
||||
Unit=grafana_export.service
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
@ -0,0 +1,50 @@
|
||||
# vorlage_wetterconfig.toml umbennen in wetterconfig.toml
|
||||
loglevel = 20 # (0=NOTSET 10=DEBUG 20=INFO 30=WARNING 40=ERROR 50=CRITICAL) Standard = 20
|
||||
|
||||
[weewx]
|
||||
sleeptime = 60 # Zeitverzögerung wie lange Skript bis zur Ausführung wartet damit es nicht kolidiert mit Weewx
|
||||
db = "mysql" # "mysql" | "sqlite"
|
||||
|
||||
[weewx.mysql]
|
||||
database = "<datenbankname>"
|
||||
user = "<username>"
|
||||
password = "<password>"
|
||||
host= "localhost"
|
||||
|
||||
[weewx.sqlite]
|
||||
database = ":memory:" # Path to database file or :memory:
|
||||
|
||||
[zieldb]
|
||||
|
||||
[zieldb.postgrest]
|
||||
url = "<url>"
|
||||
user = "<user>"
|
||||
token = "<token>"
|
||||
tablename_basiswetterdaten = ""
|
||||
tablename_zusatzwetterdaten = ""
|
||||
|
||||
|
||||
# Grafana Konfiguration
|
||||
[grafana]
|
||||
pfad_ausgabe = "/PFAD/WOHIN/AUSGABE/FÜR/GRAFANA/"
|
||||
grafana_name = "STATIONSNAME" # Wie Station bei Admin gemeldet
|
||||
server_url = "GRAFANA_SERVER_URL" # Erhältlich bei Admin von Grafana
|
||||
token = "GRAFANA_TOKEN" # Erhältlich bei Admin von Grafana
|
||||
dateiname = "DATEINAME_FÜR_ABHOLUNG" # Standard: "daten_grafana.toml"
|
||||
server_info_url = "GRAFANA_SERVER_INFO_URL" # Erhältlich bei Admin von Grafana
|
||||
longitude = "STATIONSKOORDINATEN"
|
||||
latitude = "STATIONSKOORDINATEN"
|
||||
|
||||
# Hier alle Zusatzdaten eintragen welche (nicht) öffentlich sichtbar sein sollen
|
||||
[grafana.public]
|
||||
inTemp = false
|
||||
inLuftfeuchte = false
|
||||
bad_temp = false
|
||||
bad_feuchte = false
|
||||
bad_abs_feuchte = false
|
||||
|
||||
|
||||
[feinstaub]
|
||||
url = ""
|
||||
|
||||
|
||||
@ -0,0 +1,850 @@
|
||||
from peewee import *
|
||||
|
||||
database = Proxy()
|
||||
|
||||
|
||||
class UnknownField(object):
|
||||
def __init__(self, *_, **__): pass
|
||||
|
||||
|
||||
class BaseModel(Model):
|
||||
class Meta:
|
||||
database = database
|
||||
|
||||
|
||||
class Archive(BaseModel):
|
||||
et = FloatField(column_name='ET', null=True)
|
||||
uv = FloatField(column_name='UV', null=True)
|
||||
altimeter = FloatField(null=True)
|
||||
barometer = FloatField(null=True)
|
||||
cons_battery_voltage = FloatField(column_name='consBatteryVoltage', null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
dewpoint = FloatField(null=True)
|
||||
extra_humid1 = FloatField(column_name='extraHumid1', null=True)
|
||||
extra_humid2 = FloatField(column_name='extraHumid2', null=True)
|
||||
extra_temp1 = FloatField(column_name='extraTemp1', null=True)
|
||||
extra_temp2 = FloatField(column_name='extraTemp2', null=True)
|
||||
extra_temp3 = FloatField(column_name='extraTemp3', null=True)
|
||||
hail = FloatField(null=True)
|
||||
hail_rate = FloatField(column_name='hailRate', null=True)
|
||||
heatindex = FloatField(null=True)
|
||||
heating_temp = FloatField(column_name='heatingTemp', null=True)
|
||||
heating_voltage = FloatField(column_name='heatingVoltage', null=True)
|
||||
in_humidity = FloatField(column_name='inHumidity', null=True)
|
||||
in_temp = FloatField(column_name='inTemp', null=True)
|
||||
in_temp_battery_status = FloatField(column_name='inTempBatteryStatus', null=True)
|
||||
interval = IntegerField()
|
||||
leaf_temp1 = FloatField(column_name='leafTemp1', null=True)
|
||||
leaf_temp2 = FloatField(column_name='leafTemp2', null=True)
|
||||
leaf_wet1 = FloatField(column_name='leafWet1', null=True)
|
||||
leaf_wet2 = FloatField(column_name='leafWet2', null=True)
|
||||
out_humidity = FloatField(column_name='outHumidity', null=True)
|
||||
out_temp = FloatField(column_name='outTemp', null=True)
|
||||
out_temp_battery_status = FloatField(column_name='outTempBatteryStatus', null=True)
|
||||
pressure = FloatField(null=True)
|
||||
radiation = FloatField(null=True)
|
||||
rain = FloatField(null=True)
|
||||
rain_battery_status = FloatField(column_name='rainBatteryStatus', null=True)
|
||||
rain_rate = FloatField(column_name='rainRate', null=True)
|
||||
reference_voltage = FloatField(column_name='referenceVoltage', null=True)
|
||||
rx_check_percent = FloatField(column_name='rxCheckPercent', null=True)
|
||||
soil_moist1 = FloatField(column_name='soilMoist1', null=True)
|
||||
soil_moist2 = FloatField(column_name='soilMoist2', null=True)
|
||||
soil_moist3 = FloatField(column_name='soilMoist3', null=True)
|
||||
soil_moist4 = FloatField(column_name='soilMoist4', null=True)
|
||||
soil_temp1 = FloatField(column_name='soilTemp1', null=True)
|
||||
soil_temp2 = FloatField(column_name='soilTemp2', null=True)
|
||||
soil_temp3 = FloatField(column_name='soilTemp3', null=True)
|
||||
soil_temp4 = FloatField(column_name='soilTemp4', null=True)
|
||||
supply_voltage = FloatField(column_name='supplyVoltage', null=True)
|
||||
tx_battery_status = FloatField(column_name='txBatteryStatus', null=True)
|
||||
us_units = IntegerField(column_name='usUnits')
|
||||
wind_battery_status = FloatField(column_name='windBatteryStatus', null=True)
|
||||
wind_dir = FloatField(column_name='windDir', null=True)
|
||||
wind_gust = FloatField(column_name='windGust', null=True)
|
||||
wind_gust_dir = FloatField(column_name='windGustDir', null=True)
|
||||
wind_speed = FloatField(column_name='windSpeed', null=True)
|
||||
windchill = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive'
|
||||
|
||||
|
||||
class ArchiveDayEt(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_ET'
|
||||
|
||||
|
||||
class ArchiveDayUv(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_UV'
|
||||
|
||||
|
||||
class ArchiveDayMetadata(BaseModel):
|
||||
name = CharField(primary_key=True)
|
||||
value = TextField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day__metadata'
|
||||
|
||||
|
||||
class ArchiveDayAltimeter(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_altimeter'
|
||||
|
||||
|
||||
class ArchiveDayBarometer(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_barometer'
|
||||
|
||||
|
||||
class ArchiveDayConsBatteryVoltage(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_consBatteryVoltage'
|
||||
|
||||
|
||||
class ArchiveDayDewpoint(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_dewpoint'
|
||||
|
||||
|
||||
class ArchiveDayExtraHumid1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_extraHumid1'
|
||||
|
||||
|
||||
class ArchiveDayExtraHumid2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_extraHumid2'
|
||||
|
||||
|
||||
class ArchiveDayExtraTemp1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_extraTemp1'
|
||||
|
||||
|
||||
class ArchiveDayExtraTemp2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_extraTemp2'
|
||||
|
||||
|
||||
class ArchiveDayExtraTemp3(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_extraTemp3'
|
||||
|
||||
|
||||
class ArchiveDayHail(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_hail'
|
||||
|
||||
|
||||
class ArchiveDayHailRate(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_hailRate'
|
||||
|
||||
|
||||
class ArchiveDayHeatindex(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_heatindex'
|
||||
|
||||
|
||||
class ArchiveDayHeatingTemp(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_heatingTemp'
|
||||
|
||||
|
||||
class ArchiveDayHeatingVoltage(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_heatingVoltage'
|
||||
|
||||
|
||||
class ArchiveDayInHumidity(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_inHumidity'
|
||||
|
||||
|
||||
class ArchiveDayInTemp(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_inTemp'
|
||||
|
||||
|
||||
class ArchiveDayInTempBatteryStatus(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_inTempBatteryStatus'
|
||||
|
||||
|
||||
class ArchiveDayLeafTemp1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_leafTemp1'
|
||||
|
||||
|
||||
class ArchiveDayLeafTemp2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_leafTemp2'
|
||||
|
||||
|
||||
class ArchiveDayLeafWet1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_leafWet1'
|
||||
|
||||
|
||||
class ArchiveDayLeafWet2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_leafWet2'
|
||||
|
||||
|
||||
class ArchiveDayOutHumidity(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_outHumidity'
|
||||
|
||||
|
||||
class ArchiveDayOutTemp(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_outTemp'
|
||||
|
||||
|
||||
class ArchiveDayOutTempBatteryStatus(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_outTempBatteryStatus'
|
||||
|
||||
|
||||
class ArchiveDayPressure(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_pressure'
|
||||
|
||||
|
||||
class ArchiveDayRadiation(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_radiation'
|
||||
|
||||
|
||||
class ArchiveDayRain(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_rain'
|
||||
|
||||
|
||||
class ArchiveDayRainBatteryStatus(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_rainBatteryStatus'
|
||||
|
||||
|
||||
class ArchiveDayRainRate(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_rainRate'
|
||||
|
||||
|
||||
class ArchiveDayReferenceVoltage(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_referenceVoltage'
|
||||
|
||||
|
||||
class ArchiveDayRxCheckPercent(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_rxCheckPercent'
|
||||
|
||||
|
||||
class ArchiveDaySoilMoist1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilMoist1'
|
||||
|
||||
|
||||
class ArchiveDaySoilMoist2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilMoist2'
|
||||
|
||||
|
||||
class ArchiveDaySoilMoist3(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilMoist3'
|
||||
|
||||
|
||||
class ArchiveDaySoilMoist4(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilMoist4'
|
||||
|
||||
|
||||
class ArchiveDaySoilTemp1(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilTemp1'
|
||||
|
||||
|
||||
class ArchiveDaySoilTemp2(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilTemp2'
|
||||
|
||||
|
||||
class ArchiveDaySoilTemp3(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilTemp3'
|
||||
|
||||
|
||||
class ArchiveDaySoilTemp4(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_soilTemp4'
|
||||
|
||||
|
||||
class ArchiveDaySupplyVoltage(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_supplyVoltage'
|
||||
|
||||
|
||||
class ArchiveDayTxBatteryStatus(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_txBatteryStatus'
|
||||
|
||||
|
||||
class ArchiveDayWind(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
dirsumtime = IntegerField(null=True)
|
||||
max = FloatField(null=True)
|
||||
max_dir = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
squaresum = FloatField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsquaresum = FloatField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
xsum = FloatField(null=True)
|
||||
ysum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_wind'
|
||||
|
||||
|
||||
class ArchiveDayWindBatteryStatus(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windBatteryStatus'
|
||||
|
||||
|
||||
class ArchiveDayWindDir(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windDir'
|
||||
|
||||
|
||||
class ArchiveDayWindGust(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windGust'
|
||||
|
||||
|
||||
class ArchiveDayWindGustDir(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windGustDir'
|
||||
|
||||
|
||||
class ArchiveDayWindSpeed(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windSpeed'
|
||||
|
||||
|
||||
class ArchiveDayWindchill(BaseModel):
|
||||
count = IntegerField(null=True)
|
||||
date_time = AutoField(column_name='dateTime')
|
||||
max = FloatField(null=True)
|
||||
maxtime = IntegerField(null=True)
|
||||
min = FloatField(null=True)
|
||||
mintime = IntegerField(null=True)
|
||||
sum = FloatField(null=True)
|
||||
sumtime = IntegerField(null=True)
|
||||
wsum = FloatField(null=True)
|
||||
|
||||
class Meta:
|
||||
table_name = 'archive_day_windchill'
|
||||
|
||||
|
||||
def init_db(name, type_="sqlite", config=None):
|
||||
config = config or {}
|
||||
drivers = {
|
||||
"sqlite": SqliteDatabase,
|
||||
"mysql": MySQLDatabase,
|
||||
}
|
||||
|
||||
try:
|
||||
cls = drivers[type_]
|
||||
except KeyError:
|
||||
raise ValueError("Unknown database type: {}".format(type_)) from None
|
||||
del config["database"]
|
||||
db = cls(name, **config)
|
||||
return db
|
||||
Loading…
Reference in New Issue